Triple

T2979566
Position Surface form Disambiguated ID Type / Status
Subject Bagac E80477 entity
Predicate borderedBy P224 FINISHED
Object Morong, Bataan E317281 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Morong, Bataan | Statement: [Bagac, borderedBy, Morong, Bataan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morong, Bataan
Context triple: [Bagac, borderedBy, Morong, Bataan]
  • A. Morong, Bataan chosen
    Morong, Bataan is a coastal municipality in the province of Bataan in the Philippines, known for its beaches, eco-tourism sites, and the Subic Bay Freeport Zone nearby.
  • B. Mariveles, Bataan
    Mariveles, Bataan is a coastal municipality in the Philippines historically known as one of the starting points of the Bataan Death March during World War II.
  • C. Bagac, Bataan
    Bagac, Bataan is a coastal municipality in the Philippines historically known as one of the starting points of the Bataan Death March during World War II.
  • D. Pilar, Bataan
    Pilar, Bataan is a coastal municipality in the Philippines known for its historic role in World War II and as the site of the Mount Samat National Shrine.
  • E. Batangas
    Batangas is a province in the Calabarzon region of the Philippines known for its beaches, diving spots, and the Taal Volcano.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e2c498881909dc0349b56db5c87 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.